Sumedha Garg
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Genetics
- Endocrine and Autonomic Systems top 10%
- Co-authors
- I. Sadaf FarooqiJulia M. KeoghElena G. BochukovaElana HenningInês BarrosoStephen O’RahillyMorris J. BrownJunhua Zhou
- Topics
- Hormonal Regulation and Hypertension (6 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers)Estrogen and related hormone effects (2 papers)
- Journals
- New England Journal of MedicineNature GeneticsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United KingdomMalaysiaUnited States
In The Last Decade
Sumedha Garg
10 papers receiving 509 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 175
- Endocrinology, Diabetes and Metabolism 175
- Surgery 173
- Genetics 163
- Endocrine and Autonomic Systems 106
Countries citing papers authored by Sumedha Garg
This map shows the geographic impact of Sumedha Garg's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sumedha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumedha Garg more than expected).
Fields of papers citing papers by Sumedha Garg
This network shows the impact of papers produced by Sumedha Garg. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sumedha Garg. The network helps show where Sumedha Garg may publish in the future.
Co-authorship network of co-authors of Sumedha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Sumedha Garg. A scholar is included among the top collaborators of Sumedha Garg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumedha Garg. Sumedha Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 14 | |
| 4 | 32 | |
| 5 | 92 | |
| 6 | 28 | |
| 7 | 34 | |
| 8 | 219 | |
| 9 | 52 | |
| 10 | Role of pineal in the regulation of some aspects of circadian rhythmicity in the catfish, Heteropneustes fossilis (Bloch). | 28 |
About Sumedha Garg
Sumedha Garg is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, having authored 10 papers that have together received 518 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (106 citations), Endocrinology, Diabetes and Metabolism (175 citations) and Genetics (163 citations). Sumedha Garg has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include I. Sadaf Farooqi, Julia M. Keogh, Elena G. Bochukova, Elana Henning, Inês Barroso, Stephen O’Rahilly, Morris J. Brown, Junhua Zhou, Eleanor Wheeler and Hannah Blackburn. Their work appears in journals such as New England Journal of Medicine, Nature Genetics and The Journal of Clinical Endocrinology & Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.